### Abstract

When voxel values of a small tumor or of a brain activation are very low it is difficult to distinguish them from the random image noise. A tumor or an activation is usually represented by a cluster of voxels. Consequently, when the probability of an observed cluster being formed by noise is negligible, the cluster can be interpreted as a result of a deterministic process. The probability of a cluster generated by random noise is associated with the spatial autocorrelation of the noise. Assuming that the image noise is a Gaussian random field, we have used Monte Carlo approach to calculate cluster probabilities for selected autocorrelation values. The obtained results can be used by the reader to detect tumors or activations in actual images.

Original language | English |
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Title of host publication | World Wide Web Journal of Biology |

Pages | 34-45 |

Number of pages | 12 |

Volume | 4 |

State | Published - Dec 1 1999 |

Externally published | Yes |

### Keywords

- Brain mapping
- Image noise
- Monte Carlo analysis
- Voxels

### ASJC Scopus subject areas

- Agricultural and Biological Sciences(all)

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## Cite this

*World Wide Web Journal of Biology*(Vol. 4, pp. 34-45)